We are seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and platforms. You will play a key role in developing cloud-native data solutions using Databricks, Spark, and Azure services, ensuring high performance, reliability, and security of enterprise data systems.

QUALIFICATIONS

• Advanced Python skills with strong software engineering fundamentals.
• Proven expertise in Apache Spark and SQL for large-scale data engineering and analytics.
• Hands-on experience with Databricks, including ingestion, transformation, and its latest features.
• Familiarity with Delta Lake and modern data warehousing concepts.
• Proficiency with Azure services (must-have):
• Azure Data Factory, Cosmos DB, Functions, Event Store, ADLS, Key Vault.
• Experience with cloud environments (Azure required; AWS/GCP nice-to-have).
• Strong knowledge of RDBMS and NoSQL databases, with ability to choose the right technology per use case.
• Experience applying Data as Code principles: version control, frequent commits, unit tests, CI/CD, packaging.
• Proficiency with Docker (required); Kubernetes is a plus.
• Familiarity with reporting/visualization tools (Power BI a plus).
• Exposure to ML/AI integration into data platforms is a plus.
• Solid understanding of the software development lifecycle.
• Excellent communication, interpersonal, and presentation skills.

ABOUT US

We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions — always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you’ll feel at home here.
Job Type: Full-time
Pay: 54.000,00€ - 120.000,00€ per year

Experience:

• Data Engineer: 4 years (Required)

Work Location: Remot

Please refer the Job description for details